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not a complete streaming-processing system. Only a must subset functionalities are provided.
can handle most aggregate operators within one table(i.e. Sum, avg, min, max and comparison operators). But others (join, trigger, txn etc.) are not the target feature.
Framework
Implementation challenges
Persisent intermediate state for operator
Write more operator suitable for stream computation
Limit the scope of system boundary to simple aggregation.
@discord9 I read the RFC now and wonder what's a completed sample for this feature.
I can see how to create a task (continuous query/materialize view):
CREATE TASK avg_over_5m WINDOW_SIZE ="5m"ASSELECTavg(value) FROM table WHEREtime> now() - 5m GROUP BYtime(1m)
Then we can use avg_over_5m as a normal table reference in query?
Yes, sorry for the late reply, github's layout for issues is really terrible, this task also create a result table avg_over_5m and write to it with negligible delay, so naturally one can use avg_over_5m in normal query
What problem does the new feature solve?
Being able to do simple continuous aggregation.
What does the feature do?
Framework
Implementation challenges
Implementation Progress
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